Initial experiments with Estonian speech recognition

This paper presents a short description of work recently done at University of Tartu to construct a word–based speech recognition system. Simple bigram and trigram language models with cross–word triphone acoustic models are used by a one–pass best hypothesis recognizer to perform decoding of test data. The lowest word error rate of 37.5% reported in this paper is a common figure for word–based speech recognition of languages like Estonian